Empowering systemic racism research at MIT and beyond
Researchers in the MIT Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and health care.
Study: AI could lead to inconsistent outcomes in home surveillance
Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.
“The dance between autonomy and affinity creates morality”
Philosophy doctoral student Abe Mathew is both studying philosophy and questioning some of its deeply-held ideas.
President Sally Kornbluth and OpenAI CEO Sam Altman discuss the future of AI
The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.
Q&A: How refusal can be an act of design
Doctoral student and recent MAD Design Fellow Jonathan Zong SM ’20 discusses a proposed framework to map how individuals can say “no” to technology misuses.
3 Questions: What you need to know about audio deepfakes
MIT CSAIL postdoc Nauman Dawalatabad explores ethical considerations, challenges in spear-phishing defense, and the optimistic future of AI-created voices across various sectors.
For all humankind
Political science and physics major Leela Fredlund wants to ensure fairness and justice prevail in humanity's leap into space.
Doctors have more difficulty diagnosing disease when looking at images of darker skin
Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.
What to do about AI in health?
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
Stratospheric safety standards: How aviation could steer regulation of AI in health
An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.
MIT Generative AI Week fosters dialogue across disciplines
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
Explained: Generative AI
How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?
Who will benefit from AI?
In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.
Bringing design justice to the classroom and workplace
Project shares ways to create community around design equity, ethics, and justice.
How an archeological approach can help leverage biased data in AI to improve medicine
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.